change 101 -> tutorial

Author: nabinchha

docs/notebook_source/1-the-basics.py

@@ -13,7 +13,7 @@
 # ---
 
 # %% [markdown]
-# # 🎨 Data Designer 101: The Basics
+# # 🎨 Data Designer Tutorial: The Basics
 #
 # #### 📚 What you'll learn
 #

docs/notebook_source/2-structured-outputs-and-jinja-expressions.py

@@ -13,13 +13,13 @@
 # ---
 
 # %% [markdown]
-# # 🎨 Data Designer 101: Structured Outputs and Jinja Expressions
+# # 🎨 Data Designer Tutorial: Structured Outputs and Jinja Expressions
 #
 # #### 📚 What you'll learn
 #
 # In this notebook, we will continue our exploration of Data Designer, demonstrating more advanced data generation using structured outputs and Jinja expressions.
 #
-# If this is your first time using Data Designer, we recommend starting with the [first notebook](/notebooks/1-the-basics/) in this 101 series.
+# If this is your first time using Data Designer, we recommend starting with the [first notebook](/notebooks/1-the-basics/) in this tutorial series.
 #
 
 # %% [markdown]

docs/notebook_source/3-seeding-with-a-dataset.py

@@ -13,13 +13,13 @@
 # ---
 
 # %% [markdown]
-# # 🎨 Data Designer 101: Seeding Synthetic Data Generation with an External Dataset
+# # 🎨 Data Designer Tutorial: Seeding Synthetic Data Generation with an External Dataset
 #
 # #### 📚 What you'll learn
 #
 # In this notebook, we will demonstrate how to seed synthetic data generation in Data Designer with an external dataset.
 #
-# If this is your first time using Data Designer, we recommend starting with the [first notebook](/notebooks/1-the-basics/) in this 101 series.
+# If this is your first time using Data Designer, we recommend starting with the [first notebook](/notebooks/1-the-basics/) in this tutorial series.
 #
 
 # %% [markdown]

docs/notebook_source/4-providing-images-as-context.py

@@ -13,7 +13,7 @@
 # ---
 
 # %% [markdown]
-# # 🎨 Data Designer 101: Providing Images as Context for Multi-Modal Synthetic Data Generation
+# # 🎨 Data Designer Tutorial: Providing Images as Context for Multi-Modal Synthetic Data Generation
 
 # %% [markdown]
 # #### 📚 What you'll learn
@@ -23,6 +23,9 @@
 # - ✨ **Visual Document Processing**: Converting images to chat-ready format
 # - 🏗️ **Structured Output Generation**: Using Pydantic models for consistent data schemas
 # - 🎯 **Multi-step Generation Pipeline**: Summary → Question → Answer generation workflow
+#
+# If this is your first time using Data Designer, we recommend starting with the [first notebook](/notebooks/1-the-basics/) in this tutorial series.
+#
 
 # %% [markdown]
 # ### ⬇️ Install dependencies (if required)